mlsanityData to 7 Oct 2026

Migration Reframed? A multilingual analysis on the stance shift in Europe during the Ukrainian crisis

arXiv 2302.02813 ↗First posted 6 Feb 2023cs.SI cs.CL cs.LGcited by 2

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Abstract (arXiv)

The war in Ukraine seems to have positively changed the attitude toward the critical societal topic of migration in Europe -- at least towards refugees from Ukraine. We investigate whether this impression is substantiated by how the topic is reflected in online news and social media, thus linking the representation of the issue on the Web to its perception in society. For this purpose, we combine and adapt leading-edge automatic text processing for a novel multilingual stance detection approach. Starting from 5.5M Twitter posts published by 565 European news outlets in one year, beginning September 2021, plus replies, we perform a multilingual analysis of migration-related media coverage and associated social media interaction for Europe and selected European countries. The results of our analysis show that there is actually a reframing of the discussion illustrated by the terminology change, e.g., from "migrant" to "refugee", often even accentuated with phrases such as "real refugees". However, concerning a stance shift in public perception, the picture is more diverse than expected. All analyzed cases show a noticeable temporal stance shift around the start of the war in Ukraine. Still, there are apparent national differences in the size and stability of this shift.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 15 of its 71 references that are in the map. First posted on arXiv 6 Feb 2023.

Builds on

15 of 71 references.

References · 15

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  3. 2022No Language Left Behind: Scaling Human-Centered Machine Translationcited by 1,290
  4. 2021XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyondcited by 114
  5. 2016Stance and Sentiment in Tweetscited by 62
  6. 2020X-Stance: A Multilingual Multi-Target Dataset for Stance Detectioncited by 42
  7. 2020Stance Detection in Web and Social Media: A Comparative Studycited by 25
  8. 2019#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movementcited by 15
  9. 2020Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversationscited by 14
  10. 2016Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversationscited by 12
  11. 2018Viewpoint Discovery and Understanding in Social Networkscited by 5
  12. 2021Unraveling Social Perceptions & Behaviors towards Migrants on Twittercited by 4
3 more
  1. 2020Every Colour You Are: Stance Prediction and Turnaround in Controversial Issuescited by 3
  2. 2019Characterization of Local Attitudes Toward Immigration Using Social Mediacited by 2
  3. 2021A Weakly Supervised Approach for Classifying Stance in Twitter Repliescited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.